Soochang Park
- Computer Networks and Communications top 5%
- Electrical and Electronic Engineering
- Information Systems top 10%
- Computer Vision and Pattern Recognition top 10%
- Artificial Intelligence
- Co-authors
- Dina HusseinNoël CrespiAntonio M. OrtizSon N. HanJames ShePai Chet NgSang‐Ha KimKang Eun Jeon
- Topics
- Opportunistic and Delay-Tolerant Networks (6 papers)Energy Efficient Wireless Sensor Networks (6 papers)Indoor and Outdoor Localization Technologies (5 papers)
- Cited by
- Computer Networks and CommunicationsComputer Science ApplicationsComputer Vision and Pattern Recognition
- Partner nations
- South KoreaHong KongFrance
In The Last Decade
Soochang Park
19 papers receiving 421 citations
Hit Papers
Peers
Comparison fields: 5 of 56
- Computer Networks and Communications 302
- Electrical and Electronic Engineering 180
- Information Systems 86
- Computer Vision and Pattern Recognition 86
- Artificial Intelligence 37
Countries citing papers authored by Soochang Park
This map shows the geographic impact of Soochang Park's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Soochang Park with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Soochang Park more than expected).
Fields of papers citing papers by Soochang Park
This network shows the impact of papers produced by Soochang Park. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Soochang Park. The network helps show where Soochang Park may publish in the future.
Co-authorship network of co-authors of Soochang Park
This figure shows the co-authorship network connecting the top 25 collaborators of Soochang Park. A scholar is included among the top collaborators of Soochang Park based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Soochang Park. Soochang Park is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 5 | |
| 5 | 2 | |
| 6 | 1 | |
| 7 | 39 | |
| 8 | 0 | |
| 9 | 33 | |
| 10 | 11 | |
| 11 | 8 | |
| 12 | 20 | |
| 13 | 2 | |
| 14 | 5 | |
| 15 | 10 | |
| 16 | 1 | |
| 17 | 8 | |
| 18 | The Cluster Between Internet of Things and Social Networks: Review and Research Challengesbreakdown → | 278 |
| 19 | 3 | |
| 20 | 4 |
About Soochang Park
Soochang Park is a scholar working on Computer Networks and Communications, Computer Science Applications and Computer Vision and Pattern Recognition, having authored 20 papers that have together received 433 indexed citations. Recurring topics across this work include Opportunistic and Delay-Tolerant Networks (6 papers), Energy Efficient Wireless Sensor Networks (6 papers) and Indoor and Outdoor Localization Technologies (5 papers). The work is most often cited by research in Computer Networks and Communications (302 citations), Computer Science Applications (25 citations) and Computer Vision and Pattern Recognition (86 citations). Soochang Park has collaborated with scholars based in South Korea, Hong Kong and France. Frequent co-authors include Dina Hussein, Noël Crespi, Antonio M. Ortiz, Son N. Han, James She, Pai Chet Ng, Sang‐Ha Kim, Kang Eun Jeon, Jeongcheol Lee and Ming Cheung. Their work appears in journals such as IEEE Access, IEEE Internet of Things Journal and IEEE Communications Letters.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.